Evaluation of linkage efficiency between manufacturing industry and logistics industry considering the output of unexpected pollutants.

Applied a non-radical non-oriented Slack Based Measure (SBM) model of Data Envelopment Analysis (DEA) to measure the linkage efficiency between the two sectors from 2009 to 2016. The paper analyzes the current situation of manufacturing and logistics efficiency, presents a way to improve the linkage efficiency of manufacturing and logistics industry, and using Tobit regression to analyze the environmental factors that affect the linkage efficiency. The results show that: Totality, the two industries in the three northeast provinces show a steady development trend in the period from 2009 to 2016, but the development of the two industries in northeast China is still insufficient. Unexpected pollutant output is the main reason for the decline of manufacturing efficiency in the regions. The redundancy of input factors is the main reason that affects the efficiency decline of the logistics industry. The results of Tobit regression analysis show that the investment of science and technology and opening to the outside world have a positive influence on the efficiency of the two industries, and government consumption has a negative effect on the efficiency of the two industries. This is to correctly understand and grasp the status of two industry linkage development in three northeast provinces. And it provides a certain basis for the development policy of the two-industry linkage development.Implications: Due to the availability of data, reference to the relevant achievements of the research on the linkage between manufacturing industry and logistics industry. The transportation industry, warehousing, and postal and telecommunications industry data are generally used as logistics industry data. Manufacturing data replaced by industrial data. The manufacturing industry is the core industry in the industrial system. Its output value accounts for more than 90% of industrial output value, so it can reflect the development trend of the manufacturing industry in general.

Analysis of the long-term trend of mortality and years of life lost of gastric cancer in Tianjin from 1999 to 2015 / 中华预防医学杂志

To analyze the long-term trend of mortality and years of life lost (YLL) of gastric cancer in Tianjin from 1999 to 2015. From January 1, 1999 to December 31, 2015, the data of gastric cancer deaths was collected from the Tianjin death surveillance system. The inclusion criteria of death due to gastric cancer were coded by using 151 in the 9(th) edition of the international classification of diseases (ICD) (1999-2002) and C16 in the 10(th) edition of ICD (2003-2015). The crude and age-standardized mortality rate (ASR) of gastric cancer was calculated according to Segi's world standard population. YLL was calculated according to the standard method of the disease burden of WHO. The Joinpoint regression was used to calculate the average annual percentage change (AAPC) to indicate the trend of mortality and YLL of gastric cancer. From 1999 to 2015, there were 20 000 deaths of gastric cancer in Tianjin. The proportion of gastric cancer death in the population aged 0-44 years old, 45-64 years old, and 65 years old and above was 4.9%, 30.4%, and 64.8%, respectively. The proportion of males and urban was 67.1% and 67.5%, respectively. From 1999 to 2015, the crude mortality rate was from 12.10/100 000 to 12.58/100 000. The ASR was from 11.04/100 000 to 7.24/100 000. The average annual YLL number was 29 625.83 person-years and the rate was 3.09 person-years per thousand people. From 1999 to 2015, the crude mortality rate and the PYLL of gastric cancer in Tianjin were stable (the AAPC was 0.34% and -0.24%, all values >0.05). The ASR showed a downward trend (AAPC=-2.58%, 0.001). From 1999 to 2015, the ASR of gastric cancer in Tianjin showed a downward trend, and the YLL of gastric cancer was stable.